Algorithm Scientist at Tongyi Lab and Core Author of Tongyi DeepResearch

Ph.D. in Software Engineering from Peking University and Algorithm Scientist at Tongyi Lab. He has been deeply involved in the pre-training and post-training development of the Qwen-2.5 and Qwen-3 series of large language models. Specializing in the field of Agentic AI research, he is a core developer of Tongyi DeepResearch—Alibaba’s first open-source deep research Agentic LLM—responsible for the end-to-end construction of Agent models. His work spans multiple key stages, including virtual environment design, high-quality data generation, exploration of advanced Agent paradigms, as well as model pre-training and post-training. He has achieved state-of-the-art performance across multiple authoritative Agent benchmarks such as Humanity's Last Exam, BrowseComp, BrowseComp-zh, and GAIA.